Dataset for 3D radio (RSSI) map under urban scenario (1.25kmX1.25km)

The radio map, radio environment map (REM), or RSSI map, can visualize the information of invisible electromagnetic spectrum, and is vital for monitoring, management, and security of spectrum
resources in cognitive radio (CR) networks. It is useful for the abnormal spectral activity detection,
radiation source localization, spectrum resource management, etc.

The performance of different 3D REM construction methods should be compared based on the data under realistic scenarios. However, 3D RSSI data collecting by a spectrum sensing system is quite different and high costing. Moreover, it's unrepeatable and uncontrolable. So we obtained the RSSI by the RT-based calculation method under urban scenario . It includes two datasets as
1) dynamic scenario (radiation sources are moving for 300 seconds): Collecting data at the height of 2m and 80m
2) static scenario (radiation sources are fixed) : Collecting data at the height of 2m, 10m, 20m, 30m, 40m, 50m, 80m.

The dataset has been applied and validated in the following references.
[1]. J. Wang, Q. Zhu, Z. Lin, J. Chen, G. Ding, Q. Wu, G. Gu, Q. Gao. “Sparse Bayesian Learning-Based Hierarchical Construction for 3D Radio Environment Maps Incorporating Channel Shadowing,” IEEE Transactions on Wireless Communications, early access, 2024, doi: 10.1109/TWC.2024.3416447.
[2]. Y. Zhao, Q. Zhu, Z. Lin, L. Guo, Q. Wu, J. Wang, W. Zhong. “Temporal prediction for spectrum environment maps with moving radiation sources,” IET Communications, vol. 17, no. 5, pp. 538–548, 2023.
[3]. Q. Gao, Q. Zhu, Z. Lin, Y. Zhao, J. Wang, W. Zhong, Y. Huang, Q. Wu. “Spatial Sensor Layout Optimization for Radio Environment Map Construction,” 2024 IEEE Globecom Workshops, 2024, for publication

More details and instrucitons can be found in the guidemanual.pdf.